Adaptive estimation of continuous gait phase based on capacitive sensors

被引:2
|
作者
Xu, Dongfang [1 ,2 ]
Zhang, Zhitong [1 ,3 ]
Crea, Simona [4 ,5 ,6 ]
Vitiello, Nicola [4 ,5 ,6 ]
Wang, Qining [1 ,2 ,7 ,8 ]
机构
[1] Peking Univ, Coll Engn, Dept Adv Mfg & Robot, Beijing 100871, Peoples R China
[2] Beijing Engn Res Ctr Intelligent Rehabil Engn, Beijing, Peoples R China
[3] Peking Univ, Inst Micro Nano Elect, Natl Key Lab Sci & Technol Micro Nano Fabricat, Beijing, Peoples R China
[4] Scuola Super Sant Anna, BioRobot Inst, Pisa, Italy
[5] Scuola Super Sant Anna, Dept Excellence Robot & AI, Pisa, Italy
[6] IRCCS Fdn Don Carlo Gnocchi, Milan, Italy
[7] Peking Univ, Inst Artificial Intelligence, Beijing, Peoples R China
[8] Univ Hlth & Rehabil Sci, Qingdao, Peoples R China
来源
WEARABLE TECHNOLOGIES | 2022年 / 3卷
关键词
continuous gait phase; capacitive sensors; robotic transtibial prosthesis; REAL-TIME ESTIMATE; LOCOMOTION; MOVEMENTS; FREQUENCY; ROBUST;
D O I
10.1017/wtc.2022.4
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Continuous gait phase plays an important role in robotic prosthesis control. In this paper, we have conducted the offline adaptive estimation (at different speeds and on different ramps) of continuous gait phase of robotic transtibial prosthesis based on the adaptive oscillators. We have used the capacitive sensing method to record the deformation of the muscles. Two transtibial amputees joined in this study. Based on the strain signals of the prosthetic foot and the capacitive signals of the residual limb, the maximum and minimum of estimation errors are 0.80 rad and 0.054 rad, respectively, and their corresponding ratios in one gait cycle are 1.27% and 0.86%, respectively. This paper proposes an effective method to estimate the continuous gait phase based on the capacitive signals of the residual muscles, which provides a basis for the continuous control of robotic transtibial prosthesis.
引用
收藏
页数:15
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